COURSES

RESOURCES

Data Science Course

EduPristine Data Science course is designed to help meet the expanding needs for these "Data Scientists", who are skilled in the utilization of a unique blend of Science, Art and Business. Students will learn to combine tools and techniques from statistics, computer science, data visualization and the social sciences to solve problems using data.

1388 Reviews

Globally and in the US, companies need 190,000 data scientists.

McKinsey Global Report

About COURSE

The data science course is designed and delivered by the experienced faculty and data science professionals who teach at the EduPristine campus Live Classes. EduPristine is known for classroom training and project-based learning. This data science training is no exception. Unlike a typical classroom learning experience, these classes are delivered using standard practices. EduPristine blends live, face-to-face classes with top-notch platform facilities.Read more

The Registration fees for Tableau Desktop certification is not included in this course.

About Data Science Program - Many Corporations have dramatically increased investments in their "digital enterprises" in the past few years. It has been estimated that by 2020, IT departments will be monitoring 50 times more data than they are today. This tidal wave of data is driving unprecedented demand for those with the skills required to manage and leverage these very large data sets into a competitive advantage.

These professionals are skilled in automating methods of collecting and analyzing data and utilizing inquisitive exploring techniques to discover previously hidden insight from this data that can profoundly impact the success of any business.

Extensive Classroom Training

Get trained by topic experts with interactive learning in small batches

Lab Practical

Online Materials

This course serves as an introduction to the interdisciplinary and emerging field of data science. Students will learn to combine tools and techniques from statistics, computer science, data visualization and the social sciences to solve problems using data.

Home Assignment & Online Live Discussion Module

Work on home assignment & every Friday discuss It with Faculty on Live Online Mode.

INR 620,244

Reviews WHAT OTHERS SAY

We sincerely appreciate the flexibility of teaching and customized guidance that the institute provided each of us. The intensity of the programme prepares one for high pressure situations. We are very grateful for the very valuable training and assistance provided to us by EDUPRISTINE.

Saloni SharmaEOL-E&P, Mumbai

Who should do this? TARGET

Individuals with a bachelor's degree in engineering, science, maths/statistics, finance, computer science, accounting or marketing who are intrigued by statistical and analytical practices may excel in this field.

Basic Statistics methods used in business performance measures

Strong interest in data science

Hands-on experience on Core Java & Unix

Good analytical skills to grasp and apply the concepts in Hadoop

FAQsWHY?

Data science is the study of the generalizable extraction of knowledge from data, yet the key word is science. It incorporates varying elements and builds on techniques and theories from many fields, including signal processing, mathematics, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, uncertainty modeling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products. Data Science is not restricted to only big data, although the fact that data is scaling up makes big data an important aspect of data science.

You will have an opportunity to work through a data science project end to end, from analyzing a dataset to visualizing and communicating your data analysis. Through working on the class project, you will be exposed to and understand the skills that are needed to become a data scientist yourself. Identify, obtain, and transform a data set to make it suitable for the production of statistical evidence communicated in written form Build models based on new data types, experimental design, and statistical inference

Data science develops the skills required to build information platforms and analytical tools that reduce costs, increase profits, improve products, retain customers, and identify new opportunities. Data scientists solve complex data problems through employing deep expertise in some scientific discipline. It is generally expected that data scientists are able to work with various elements of mathematics, statistics and computer science, although expertise in these subjects are not required. This course is part of both the developer learning path and the data analyst learning path.

To understand the content, derive value, and successfully complete this course, you should have, Basic Statistics methods used in business performance measures Strong interest in data science Hands-on experience on Core Java & Unix Good analytical skills to grasp and apply the concepts in Hadoop

The study warns there is a significant shortage of qualified workers to analyze Big data sets adequately. According to the report, a shortfall of about 140,000 to 190,000 individuals with analytical expertise is projected by 2018. The study also predicts a need for an additional 1.5 million managers and analysts by that same date to fully engage the true potential of the currently available data.

Data scientists are an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as data mining and analysis, that can help businesses gain a competitive edge. Ken Garrison, CEO of the industry group Strategic and Competitive Intelligence Professionals (SCIP), explains, "The field involves collecting data, analyzing it and delivering the data as intelligence that is actionable."

Every domain employers in analytics required: for example- 1. Large IT companies who have an Analytics practice; 2. Analytics KPOs; 3. In-House Analytics Units of large corporate; and 4. Analytics firms.

It's an Online class which will cover any new updates or topics in Big data field. We keep this as an initiative for all old students to update on new techniques in the market. There will be a 3Hrs online interactive session on every 2nd & 4th Sunday of month for all X-students New topics in Big data & Industrial Case studies will be covered. All the enrolled students of Hadoop plus will get an Access to Hadoop trends for a year. Additionally , 4 classroom workshops will be held in a year in 5 cities to cover important topics Cities for workshop- Mumbai, Pune, Banglore, Kolkata and Delhi only

Disclaimer

GARP does not endorse, promote, review or warrant the accuracy of the products or services offered by EduPristine of GARP Exam related information, nor does it endorse any pass rates that may be claimed by the Exam Prep Provider. Further, GARP is not responsible for any fees or costs paid by the user to EduPristine nor is GARP responsible for any fees or costs of any person or entity providing any services to EduPristine. ERP®, FRM®, GARP® and Global Association of Risk Professionals™ are trademarks owned by the Global Association of Risk Professionals, Inc.CFA® Institute does not endorse, promote, or warrant the accuracy or quality of the products or services offered by EduPristine.

CFA® Institute, CFA® Program, CFA® Institute Investment Foundations™ and Chartered Financial Analyst® are trademarks owned by CFA® Institute. Utmost care has been taken to ensure that there is no copyright violation or infringement in any of our content.

Still, in case you feel that there is any copyright violation of any kind please send a mail to abuse@edupristine.com and we will rectify it.

Disclaimer

GARP does not endorse, promote, review or warrant the accuracy of the products or services offered by EduPristine of GARP Exam related information, nor does it endorse any pass rates that may be claimed by the Exam Prep Provider. Further, GARP is not responsible for any fees or costs paid by the user to EduPristine nor is GARP responsible for any fees or costs of any person or entity providing any services to EduPristine. ERP®, FRM®, GARP® and Global Association of Risk Professionals™ are trademarks owned by the Global Association of Risk Professionals, Inc.CFA® Institute does not endorse, promote, or warrant the accuracy or quality of the products or services offered by EduPristine.

CFA® Institute, CFA® Program, CFA® Institute Investment Foundations™ and Chartered Financial Analyst® are trademarks owned by CFA® Institute. Utmost care has been taken to ensure that there is no copyright violation or infringement in any of our content.

Still, in case you feel that there is any copyright violation of any kind please send a mail to abuse@edupristine.com and we will rectify it.